Human Anomalous Gait Termination Recognition via Through-the-wall Radar Based on Micro-Doppler Corner Features and Non-Local Mechanism

Human Anomalous Gait Termination Recognition via Through-the-wall Radar Based on Micro-Doppler Corner Features and Non-Local Mechanism

Through-the-wall radar can penetrate walls and realize indoor human target detection. Deep learning is commonly used to extract the micro-Doppler signature of a target, which can be used to effectively identify human activities behind obstacles. However, the test accuracy of the deep-learning-based...

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Bibliographic Details
Main Authors: Xiaopeng YANG, Weicheng GAO, Xiaodong QU
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2024-02-01
Series:Leida xuebao
Subjects:
through-the-wall radar
human activity recognition
micro-doppler signature
corner feature
neural networks
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR23181

Internet

https://radars.ac.cn/cn/article/doi/10.12000/JR23181

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